This tutorial is for new MSI users and interested individuals, and it provides an introduction to the facilities and computational resources at MSI. The quick start portion of the tutorial consists of instructions for setting up accounts, and accessing the various machines and resources. The second portion consists of a brief introduction to the MSI Linux environment, including hands-on examples. The UNIX operating system is a fundamental part of the MSI experience for people using the MSI Linux workstations and core systems. Many of MSI's scientific codes require that the user understand basic UNIX operating commands and functionality. This latter part of the tutorial will give a novice user an introduction to using the UNIX operating environment to navigate and use MSI resources.

This tutorial is paired with Quality Control of Illumina Data using Galaxy and will take the user though the same steps but using the command line versions of the tools used in the Galaxy environment.

This tutorial will:

1. Provide a brief introduction to MSI systems.2. Provide a very brief introduction to UNIX.3. Take users step-by-step though the process needed to run quality control and trimming on Illumina data at the command line.4. Provide users with a basic PBS script to automate the quality control and trimming process.5. Teach users how to edit and run the script to be used in the future.

Students will need to bring their own laptops to this tutorial and have some software preinstalled. Once you sign up for the tutorial, instructions for which software to have installed will be given to you.

Dr. Hosseini will present what's new in Fluent 15. He can cover meshing techniques, multiphase models including DPM & DEM, and much more depending on audience interest. There will be plenty of opportunity for questions and hands-on demonstrations. Please join us to learn from an ANSYS technical services expert.

IPA staff will be on hand to introduce novice users to IPA. This workshop is geared to new IPA users and will cover uploading a dataset, normalizing the data, setting up a Core analysis, and waking through and interpreting the results. You need a umn.edu email address to access IPA, please register for your IPA account here before attending class: http://www.ingenuity.com/products/ipa/try-ipa-for-free